ZipRecruiter

Log In

1

Databricks Engineer Jobs in Kansas (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Wichita, KS · On-site

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Topeka, KS · On-site

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Pittsburg, KS · On-site

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Ascend Learning

Data Architect

Leawood, KS · On-site

$62 - $79.75/hr

Implement DataOps/DevOps practices and automation to streamline and operationalize data workflows ... Databricks, Azure Synapse/Fabric, Amazon Redshift). * Strong expertise in data architecture ...

Ascend Learning

Data Architect

Leawood, KS · On-site

$62 - $79.75/hr

Implement DataOps/DevOps practices and automation to streamline and operationalize data workflows ... Databricks, Azure Synapse/Fabric, Amazon Redshift). * Strong expertise in data architecture ...

MCKESSON

Business Systems Analyst

Overland Park, KS · On-site +1

$64K - $108K/yr

You'll work closely with engineering, product, and external partners to troubleshoot issues, ensure ... Exposure to ETL tools or platforms (e.g., Databricks, Informatica, or similar) * Experience with ...

McKesson

Business Systems Analyst

Overland Park, KS · On-site +1

$64K - $108K/yr

You'll work closely with engineering, product, and external partners to troubleshoot issues, ensure ... Exposure to ETL tools or platforms (e.g., Databricks, Informatica, or similar) * Experience with ...

McKesson

Business Systems Analyst

Overland Park, KS · On-site +1

$64K - $108K/yr

You'll work closely with engineering, product, and external partners to troubleshoot issues, ensure ... Exposure to ETL tools or platforms (e.g., Databricks, Informatica, or similar) * Experience with ...

Associated Wholesale Grocers

Data Architect

Kansas City, KS · On-site

$61.50 - $79/hr

Databricks, Azure Data Lake, BLOB Storage, Synapse database or AWS RDS, Azure SQL Database). * Knowledge of programming languages (e.g., Python, Java, Scala). * Understanding of machine learning ...

Associated Wholesale Grocers

Data Architect

Kansas City, KS · Hybrid

$60 - $77.25/hr

Databricks, Azure Data Lake, BLOB Storage, Synapse database or AWS RDS, Azure SQL Database). * Knowledge of programming languages (e.g., Python, Java, Scala). * Understanding of machine learning ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

... developers and account teams to deliver exceptional client value across JLL's commercial real ... Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred)

next page

Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Kansas

Databricks Engineer information

See Kansas salary details

$53.1K

$99.6K

$181K

How much do databricks engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for databricks engineer in Kansas is $99,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $118,200.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Kansas? For Databricks Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Kansas look for? The top searched job categories for Databricks Engineer jobs in Kansas are:
What cities in Kansas are hiring for Databricks Engineer jobs? Cities in Kansas with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Kansas as of June 2026, with employment types broken down into 61% Full Time, 4% Part Time, and 35% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $99,559 per year, or $47.9 per hour.
Marketing Operations Analyst

Marketing Operations Analyst

FocusKPI

Overland Park, KS • On-site

Full-time

Posted 9 days ago

Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered

FocusKPI logo

About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

View All FocusKPI Jobs

Apply